Some Notes on Elliptic Regularity

Similar documents
Theory of PDE Homework 2

Weak Formulation of Elliptic BVP s

Lecture Notes on PDEs

Friedrich symmetric systems

4. Solvability of elliptic PDEs

Second Order Elliptic PDE

CHAPTER 4. Elliptic PDEs

[2] (a) Develop and describe the piecewise linear Galerkin finite element approximation of,

Spectral Properties of Elliptic Operators In previous work we have replaced the strong version of an elliptic boundary value problem

Finite Elements. Colin Cotter. February 22, Colin Cotter FEM

Variational Formulations

LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES)

Simple Examples on Rectangular Domains

Numerical Solutions to Partial Differential Equations

THE STOKES SYSTEM R.E. SHOWALTER

Applied/Numerical Analysis Qualifying Exam

MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY

Wentzell Boundary Conditions in the Nonsymmetric Case

Chapter 1 Foundations of Elliptic Boundary Value Problems 1.1 Euler equations of variational problems

Applied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems.

CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence

Elliptic Partial Differential Equations of Second Order

Exercises - Chapter 1 - Chapter 2 (Correction)

1. Subspaces A subset M of Hilbert space H is a subspace of it is closed under the operation of forming linear combinations;i.e.,

Stochastic homogenization 1

CSE386C METHODS OF APPLIED MATHEMATICS Fall 2014, Final Exam, 9:00-noon, Tue, Dec 16, ACES 6.304

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1

Boundary Value Problems and Iterative Methods for Linear Systems

Iterative Methods for Linear Systems

Variational Principles for Equilibrium Physical Systems

Domain Perturbation for Linear and Semi-Linear Boundary Value Problems

An introduction to the mathematical theory of finite elements

LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES. Sergey Korotov,

Math 246B - Partial Differential Equations

and finally, any second order divergence form elliptic operator

WELL POSEDNESS OF PROBLEMS I

Finite difference method for elliptic problems: I

Applied/Numerical Analysis Qualifying Exam

Chapter 5 A priori error estimates for nonconforming finite element approximations 5.1 Strang s first lemma

A very short introduction to the Finite Element Method

Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains

Lectures on. Weak Solutions of Elliptic Boundary Value Problems

One-dimensional and nonlinear problems

Numerical Analysis of Higher Order Discontinuous Galerkin Finite Element Methods

CHAPTER 4. Elliptic PDEs

Regularity Theory a Fourth Order PDE with Delta Right Hand Side

Generalized Lax-Milgram theorem in Banach spaces and its application to the mathematical fluid mechanics.

Sectorial Forms and m-sectorial Operators

2.3 Variational form of boundary value problems

arxiv: v1 [math.ap] 6 Dec 2011

t y n (s) ds. t y(s) ds, x(t) = x(0) +

Your first day at work MATH 806 (Fall 2015)

Partial Differential Equations

TRANSPORT IN POROUS MEDIA

Consistency analysis of a 1D Finite Volume scheme for barotropic Euler models

Boundary-Value Problems for P.D.E.s

S t u 0 x u 0 x t u 0 D A. Moreover, for any u 0 D A, AS t u 0 x x u 0 x t u 0 x t H

Numerical Solutions to Partial Differential Equations

The Mollifier Theorem

A C 0 Interior Penalty Method for the von Kármán Equations

Integral Representation Formula, Boundary Integral Operators and Calderón projection

FINITE-DIFFERENCE AND FINITE-ELEMENT SOLUTION OF BOUNDARY VALUE AND OBSTACLE PROBLEMS FOR THE HESTON OPERATOR

Partial Differential Equations 2 Variational Methods

An inverse problem for a system of steady-state reaction-diffusion equations on a porous domain using a collage-based approach

ON COMPARISON PRINCIPLES FOR

When all else fails, integrate by parts an overview of new and old variational formulations for linear elliptic PDEs

Sobolev Spaces. Chapter Hölder spaces

Lecture 17. Higher boundary regularity. April 15 th, We extend our results to include the boundary. Let u C 2 (Ω) C 0 ( Ω) be a solution of

Mixed exterior Laplace s problem

Hamburger Beiträge zur Angewandten Mathematik

On m-accretive Schrödinger operators in L p -spaces on manifolds of bounded geometry

Fact Sheet Functional Analysis

BASIC FUNCTIONAL ANALYSIS FOR THE OPTIMIZATION OF PARTIAL DIFFERENTIAL EQUATIONS

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction

Applications of the periodic unfolding method to multi-scale problems

Lecture Notes of the Autumn School Modelling and Optimization with Partial Differential Equations Hamburg, September 26-30, 2005

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx.

Scientific Computing WS 2017/2018. Lecture 18. Jürgen Fuhrmann Lecture 18 Slide 1

A Note on the Variational Formulation of PDEs and Solution by Finite Elements

Partial Differential Equations and Sobolev Spaces MAT-INF4300 autumn Snorre H. Christiansen November 10, 2016

THE FORM SUM AND THE FRIEDRICHS EXTENSION OF SCHRÖDINGER-TYPE OPERATORS ON RIEMANNIAN MANIFOLDS

Here we used the multiindex notation:

1. Let a(x) > 0, and assume that u and u h are the solutions of the Dirichlet problem:

The Dirichlet-to-Neumann operator

GENERATORS WITH INTERIOR DEGENERACY ON SPACES OF L 2 TYPE

Appendix A Functional Analysis

Partial Differential Equations

FINITE ELEMENT METHODS

Communications in Nonlinear Science and Numerical Simulation

Projected Surface Finite Elements for Elliptic Equations

SOBOLEV SPACES AND ELLIPTIC EQUATIONS

C e n t r u m v o o r W i s k u n d e e n I n f o r m a t i c a

Math Tune-Up Louisiana State University August, Lectures on Partial Differential Equations and Hilbert Space

Benjamin-Ono equation: Lax pair and simplicity of eigenvalues

Chapter 2 Finite Element Spaces for Linear Saddle Point Problems

Some lecture notes for Math 6050E: PDEs, Fall 2016

Fourier transforms, Fourier series, pseudo-laplacians. 1. From R to [a, b]

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition

Spectrum and Exact Controllability of a Hybrid System of Elasticity.

Transcription:

Some Notes on Elliptic Regularity Here we consider first the existence of weak solutions to elliptic problems of the form: { Lu = f, u = 0, (1) and then we consider the regularity of such solutions. The operator L has the following explicit form: Lu = (a ij (x)u xi ) xj + b i u xi + cu, x R n The first sum corresponds physically to diffusion, the second to convection and the third to reaction. It is assumed that the matrix {a ij } is symmetric and that the operator L is uniformly elliptic, i.e., there is a θ > 0 such that: a i,j ξ i ξ j θ ξ 2, x, ξ R n It is assumed throughout that the coefficients in L are bounded, a i,j,b j,c L (), and that the data are square integrable, f L 2 (). In case the boundary value problem is given with non-zero boundary values u = g on, such a problem may be transformed to the form considered here by introducing a sufficiently smooth function w satisfying w = g on. In this case, the function ũ = u w satisfies (1) with f replaced by f Lw. Existence of Weak Solutions A bilinear form associated with L is given by multiplying Lu by a smooth test function φ C0 () and integrating the diffusion component by parts: B λ (u,φ) = a i,j u xi φ xj + b i u xi φ + cuφ + λuφ dx A linear form associated with the data f L 2 () is: F(φ) = fφdx By integrating φlu by parts until no derivatives remain applied to u, we arrive at the equation: (Lu,φ) L 2 () = (u,l φ) L 2 (), φ C 0 () where the formal adjoint of L is given by: L φ = (a ij (x)φ xi ) xj (b i φ) xi + cφ A function u L 2 () is said to be a distributional solution to Lu = f when (u,l φ) L 2 () = f,φ, φ C 0 () where the right side denotes the action of the distribution f applied to φ. In case f is a function in a conventional sense and the integral of f φ makes sense, then the right side is understood as F(φ). A function u H 1 () is said to be a weak solution to Lu = f when: B 0 (u,φ) = F(φ), φ C 0 () (2) 1

A function u H0 1 () is said to be a weak solution to (1) when the following holds: Such a solution is obtained with the Lax Milgram Theorem. B 0 (u,v) = F(v), v H 1 0() (3) Theorem (Lax Milgram): For a given Hilbert space H, assume that B : H H R is a bilinear mapping which is coercive B(u,u) c 1 u 2 H, u H and bounded B(u,v) c 2 u H v H, u,v H and suppose that F : H R is a linear mapping which is bounded F(v) c 3 v H, v H Then there exists a unique element u H such that B(u,v) = F(v), v H Note that it is not required that B be symmetric as in B(u,v) = B(v,u). We want now to show that B λ is bounded and coercive on H 1 () for λ sufficiently large. Boundedness is established as follows. B λ (u,v) a i,j L () u xi v xj dx + b i L () u xi v dx + ( c L () + λ ) u v dx C u xi L 2 () v xj L 2 () + C u xi L 2 () v L 2 () + C u L 2 () v L 2 () C u H 1 () v H 1 () Coercivity is obtained as follows. B λ (u,u) = a i,j u xi u xj + = b i u xi u + (c + λ)u 2 dx θ u 2 b i L () u xi u + (λ c L ())u dx 2 θ u 2 b i L () (ǫ u xi 2 + 1 ) 4ǫ u 2 + (λ c L ())u 2 dx ( ) ( θ ǫ max b i L 1 i n () u 2 + λ c L () ) 1 b i L () u 2 dx 4ǫ C u 2 H 1 () 2

where the last inequality follows for ǫ sufficiently small and λ correspondingly large. Note that the following inequality is used above: ab ǫa 2 + b2 4ǫ The linear form F is of course bounded on H 1 (): F(v) f L 2 () v L 2 () f L 2 () v H 1 () Since B λ and F satisfy the above properties on all of H 1 (), they also satisfy these on the closed linear subspace H0 1 (). So we have the following first weak existence theorem. Theorem: There exists a λ 0 0 such that for λ λ 0 and for each f L 2 () there is a unique u H0 1 () such that the following holds: B λ (u,v) = F(v), v H0 1 () (4) This theorem does not of course give us a solution to (1) but rather to the perturbed problem with L replaced by L + λi. Unfortunately, when the reaction coefficient c is negative or the convection coefficients {b i } are sufficiently strong in relation to the diffusion term, L is not necessarily an accretive operator. In such cases, we have to settle for a Fredholm Alternative. Theorem (Fredholm Alternative): Precisely one of the following statements hold. For each f L 2 () there exists a unique weak solution u H0 1 () satisfying (3). There exists a weak solution u 0 satisfying (3) with f = 0. Regularity of Weak Solutions Having established the existence of at least a weak solution to (1) we want now to consider whether this solution is in fact smooth. Because the techniques are technical, we will only state the results without proof. Theorem (Interior H 2 ()-Regularity): Assume that the coefficients of L have the regularity, a i,j C 1 (), b i,c L () and that f L 2 (). Suppose further that u H 1 () is a weak solution to Lu = f satisfying (2). Then u Hloc 2 () and for each 0 there is a constant C independent of f and u such that: u H 2 ( 0 ) C f L 2 () + u L 2 () Note that for the theorem above, u is not required to lie in H0 1 (). In other words, the result is purely about regularity in the interior of. In case the coefficients and data have higher order regularity, we have the following stronger statement about the interior regularity of the solution. Theorem (Higher Order Interior Regularity): Assume that the coefficients of L have the regularity, a i,j,b i,c C m+1 () and that f H m (). Suppose further that u H 1 () is a weak solution to Lu = f satisfying (2). Then u H m+2 loc () and for each 0 there is a constant C independent of f and u such that: u H m+2 ( 0 ) C f H m () + u L 2 () In the following theorem, regularity is given up to the boundary of the domain. For this, regularity of the domain boundary is required. 3

Theorem (Closure H 2 ()-Regularity): Assume that the coefficients of L have the regularity, a i,j C 1 (), b i,c L (), that f L 2 () and that the boundary possesses the regularity C 2. Suppose further that u H0 1 () is a weak solution to (1) satisfying (3). Then u H 2 () and there is a constant C independent of f and u such that: u H 2 () C f L 2 () + u L 2 () If u H0 1 () is the unique weak solution to (1) satisfying (3), then there is a constant C independent of f and u such that: u H 2 () C f L 2 () In case the coefficients and data have higher order regularity, we have the following stronger statement about the regularity of the solution in the closure of the domain. Theorem (Higher Order Closure Regularity): Assume that the coefficients of L have the regularity, a i,j,b i,c C m+1 (), that f H m () and that the boundary possesses the regularity C 2. Suppose further that u H0 1 () is a weak solution to (1) satisfying (3). Then u H m+2 () and there is a constant C independent of f and u such that: u H m+2 ( 0 ) C f H m () + u L 2 () If u H0 1 () is the unique weak solution to (1) satisfying (3), then there is a constant C independent of f and u such that: u H m+2 () C f H m () Appendix on Advanced Elliptic Regularity Suppose that is a bounded domain in R n. For a positive integer m define the bilinear form, B(u,v) = a αβ (x) α u(x) β v(x)dx α, β m and assume that B is coercive on H m () H m (). Define the 2m order differential operator L so that the following holds: (Lφ,ψ) L 2 () = B(φ,ψ) φ,ψ C 0 () Suppose that C m+t for some t 0. Let s 0 satisfy: s + 1 2 {1,2,...,m} 0 s t, if t N 0 s < t, if t N Assume that the coefficients in B satisfy: { γ a αβ L (), α, β m, and γ with γ max(0,t + β m), if t N a αβ C t+ β +m ( ) for β > m 1, a αβ L () otherwise, if t N Assume further that f H m+2 () and define the linear form F(v) = fv dx 4

Then assume that u is a weak solution to Lu = f, B(u,φ) = F(φ) φ C 0 () while simultaneously satisfying the boundary conditions (in the sense of trace): l u n l = ϕ l, ϕ l H m+s l 1 2 ( ), l = 0,...,m 1 Then u H m+s () and there exists a constant C s independent of u, f and {ϕ l } such that: m 1 u H m+s () C s f H m+s () + ϕ H m+s l 1 + u 2 ( ) H m () l=0 5